title: Proprioception rehabilitation training system for stroke patients using virtual reality technology.
abstract: We investigated a virtual reality (VR) proprioceptive rehabilitation system that could manipulate the visual feedback of upper-limb during training and could do training by relying on proprioception feedback only. Virtual environments were designed in order to switch visual feedback on/off during upper-limb training. Two types of VR training tasks were designed for evaluating the effect of the proprioception focused training compared to the training with visual feedback. In order to evaluate the developed proprioception feedback virtual environment system, we recruited ten stroke patients (age: 54.7± 7.83years, on set: 3.29± 3.83 years). All patients performed three times PFVE task in order to check the improvement of proprioception function just before training session, after one week training, and after all training. In a comparison between FMS score and PFVE, the FMS score had a significant relationship with the error distance(r = -.662, n=10, p = .037) and total movement distance(r = -.726, n=10, p = .018) in PFVE. Comparing the training effect between in virtual environment with visual feedback and with proprioception, the click count, error distance and total error distance was more reduced in PFVE than VFVE. (Click count: p = 0.005, error distance: p = 0.001, total error distance: p = 0.007). It suggested that the proprioception feedback rather than visual feedback could be effective means to enhancing motor control during rehabilitation training. The developed VR system for rehabilitation has been verified in that stroke patients improved motor control after VR proprioception feedback training.
authors.forename: Sun I
authors.initials: SI
authors.lastname: Kim
authors.forename: In-Ho
authors.initials: IH
authors.lastname: Song
authors.forename: Sangwoo
authors.initials: S
authors.lastname: Cho
authors.forename: In Young
authors.initials: IY
authors.lastname: Kim
authors.forename: Jeonghun
authors.initials: J
authors.lastname: Ku
authors.forename: Youn Joo
authors.initials: YJ
authors.lastname: Kang
authors.forename: Dong Pyo
authors.initials: DP
authors.lastname: Jang
mesh_terms: D000368:Aged; D001132:Arm / Q000502:physiology; D006225:Hand / Q000502:physiology; D006801:Humans; D008875:Middle Aged; D009068:Movement; D011434:Proprioception / Q000502:physiology*; D000071939:Stroke Rehabilitation; D034941:Upper Extremity / Q000502:physiology; D018910:Video Games; D063367:Virtual Reality Exposure Therapy / Q000295:instrumentation / Q000379:methods*